Natural Killer T-cell Immunotherapy in Combination with Chemotherapy-Induced Immunogenic Cell Death Targets Metastatic Breast Cancer
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Bibliographic record
Abstract
Abstract Natural killer T (NKT) cells are glycolipid-reactive lymphocytes that promote cancer control. In previous studies, NKT-cell activation improved survival and antitumor immunity in a postsurgical mouse model of metastatic breast cancer. Herein, we investigated whether NKT-cell activation could be combined with chemotherapeutic agents to augment therapeutic outcomes. Gemcitabine and cyclophosphamide analogues enhanced the potential immunogenicity of 4T1 mammary carcinoma cells by increasing the expression of antigen-presenting molecules (MHC-I, MHC-II, and CD1d) and promoting exposure or release of immunogenic cell death markers (calreticulin, HMGB1, and ATP). In 4T1 primary tumor and postsurgical metastasis models, BALB/c mice were treated with cyclophosphamide or gemcitabine. NKT cells were then activated by transfer of dendritic cells loaded with the glycolipid antigen α-galactosylceramide (α-GalCer). Chemotherapeutic treatments did not impact NKT-cell activation but enhanced recruitment into primary tumors. Cyclophosphamide, gemcitabine, or α-GalCer–loaded dendritic cell monotherapies decreased tumor growth in the primary tumor model and reduced metastatic burden and prolonged survival in the metastasis model. Combining chemotherapeutics with NKT-cell activation therapy significantly enhanced survival, with surviving mice exhibiting attenuated tumor growth following a second tumor challenge. The frequency of myeloid-derived suppressor cells was reduced by gemcitabine, cyclophosphamide, or α-GalCer–loaded dendritic cell treatments; cyclophosphamide also reduced the frequency of regulatory T cells. Individual treatments increased immune cell activation, cytokine polarization, and cytotoxic responses, although these readouts were not enhanced further by combining therapies. These findings demonstrate that NKT-cell activation therapy can be combined with gemcitabine or cyclophosphamide to target tumor burden and enhance protection against tumor recurrence. Cancer Immunol Res; 5(12); 1086–97. ©2017 AACR.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it